一种基于韦伯微分激励描述子的鲁棒知情水印和篡改检测方法

M. AlShaikh, L. Laouamer, Laurent Nana, A. Pascu
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引用次数: 1

摘要

本文提出了一种基于韦伯微分描述符的半盲知情水印方法,该方法可以从原始图像中提取水印,同时实现鲁棒性和篡改区域的检测。我们将原始图像分成n × m块,在空间域中选取中心像素作为水印嵌入的关注点。通过将攻击后提取的水印与原始水印图像进行比较,证明篡改检测是被篡改的水印图像。我们还通过这种方法重点研究了水印的鲁棒性,并对其在不同攻击场景下进行了测试。实验结果表明,该算法较好地掩盖了篡改问题,具有较好的水印鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel robust informed watermarking approach and tamper detection based on weber differential excitation descriptor
We aim through this paper to present a semi blind and informed watermarking approach based on Weber differential descriptor to build a watermark from the original image by achieving robustness and also detecting the tampered zones. We divide the original image into n by m blocks and the centered pixel is chosen to be concerned for watermark embedding in the spatial domain. The tamper detection is proved into tampered watermarked image by comparing the extracted watermark after attacks with the original watermark image. We focused also through this approach on the watermarking robustness and tested it against different scenario of attacks. The experimental results show the perfect covering of tamper issue and also the watermark robustness.
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